Evidence map›Paper›PMID 20633297›Full record

ArticleAlgorithms for molecular biology : AMB2010

An automated stochastic approach to the identification of the protein specificity determinants and functional subfamilies.

Pavel V Mazin, Mikhail S Gelfand, Andrey A Mironov, Aleksandra B Rakhmaninova, Anatoly R Rubinov, Robert B Russell, Olga V Kalinina

Open access · goldAbstract read
In one paragraph

Article in Algorithms for molecular biology : AMB, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 58 citations in OpenAlex.

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  13. Basis for substrate recognition and distinction by matrix metalloproteinases.Proceedings of the National Academy of Sciences of the United States of America · 2014
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Pavel V MazinCellnetworks, University of Heidelberg, Heidelberg, Germany. olga.kalinina@bioquant.uni-heidelberg.de.
Mikhail S Gelfand
Andrey A Mironov
Aleksandra B Rakhmaninova
Anatoly R Rubinov
Robert B Russell
Olga V Kalinina
Heidelberg University · DELomonosov Moscow State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent progress in sequencing and 3 D structure determination techniques stimulated development of approaches aimed at more precise annotation of proteins, that is, prediction of exact specificity to a ligand or, more broadly, to a binding partner of any kind.

resultsWe present a method, SDPclust, for identification of protein functional subfamilies coupled with prediction of specificity-determining positions (SDPs). SDPclust predicts specificity in a phylogeny-independent stochastic manner, which allows for the correct identification of the specificity for proteins that are separated on a phylogenetic tree, but still bind the same ligand. SDPclust is implemented as a Web-server http://bioinf.fbb.msu.ru/SDPfoxWeb/ and a stand-alone Java application available from the website.

conclusionsSDPclust performs a simultaneous identification of specificity determinants and specificity groups in a statistically robust and phylogeny-independent manner.

Identifiers

PMID20633297
PMCPMC2914642
OpenAlexW2102931666

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.